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Characterizing the impacts of land use on nitrate load and water yield in an agricultural watershed in Atlantic Canada

机译:在大西洋加拿大农业流域土地利用对土地利用对硝酸盐负荷和水产量的影响

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Excessive nitrate loading from agricultural non-point source is threatening the health of receiving water bodies at the global scale. Quantifying the drivers/sources of water and nitrate flux in watersheds and relating them to spatial and temporal land uses is essential for developing effective mitigation strategies. This study investigated the impact of land use on water yield and nitrate loading to surface water in a typical agricultural watershed in Prince Edward Island (PE1), Canada. We used historical streamflow and water quality records to calibrate the comprehensive hydrological model Soil and Water Assessment Tool (SWAT), which was setup with detailed annual land use records. The SWAT model performed well in predicting both daily streamflow and nitrate load. Land use demonstrated little impact on water yield but affected nitrate load significantly. Annual nitrate load ranged from 5.6 to 44.4 kg N ha~(-1) yr~(-1) for forest and soybean, respectively. Potato rotated land contributed 84.5% of annual nitrate load to the watershed. Source of water yield demonstrated high variability between the growing season and non-growing season. About 90% of water yield was contributed by groundwater during growing season, while runoff contributed over 60% of water yield during the non-growing season. Groundwater was the dominant source of nitrate loading for both seasons. The watershed estuary faced the highest threats from subbasins in the south western area due to the high nitrate load and proximity to the watershed outlet. Results by the machine learning algorithm random Forest analysis indicated that the climatic variables of temperature and precipitation were the top two factors affecting water yield, with a combined relative importance of 61%. Land use was the dominant factor affecting nitrate load, the relative importance of land use alone was -50%. The results of this study provided critical insights for watershed management in Atlantic Canada.
机译:来自农业非点来源的过度硝酸盐载荷正在威胁到全球范围内接收水体的健康。量化流域中的水和硝酸盐源和与空间和时间土地用途的氮酸源,对开发有效的缓解策略至关重要。本研究调查了土地利用对加拿大王子岛(PE1)典型农业分水岭水产量和硝酸盐荷载的影响。我们使用了历史流流程和水质记录来校准综合水文模型土壤和水评估工具(SWAT),该工具与详细的年度土地使用记录进行了设置。 SWAT模型在预测每日流流和硝酸盐载荷时表现良好。土地利用对水产量的影响很小,但显着影响了硝酸盐负荷。每年硝酸盐负荷分别为森林和大豆的5.6至44.4千克(-1)Yr〜(-1)。土豆旋转土地占分水岭的每年硝酸盐量的84.5%。水产量来源显示了生长季节和非生长季节之间的高度变化。在生长季节期间,大约90%的水产率由地下水贡献,而径流量在非生长季节期间贡献了超过60%的水产量。地下水是两个季节的硝酸盐荷载的主要来源。由于高硝酸盐负荷和流域出口的近距离,分水岭河口面临南方地区的亚剩障碍的最高威胁。通过机器学习算法随机森林分析表明,温度和降水的气候变量是影响水产量的前两个因素,其相对重要性为61%。土地使用是影响硝酸盐负荷的主导因素,单独使用土地使用的相对重要性为-50%。本研究的结果为大西洋加拿大的流域管理提供了关键洞察。

著录项

  • 来源
    《The Science of the Total Environment》 |2020年第10期|138793.1-138793.13|共13页
  • 作者单位

    Faculty of Forestry and Environmental Management University of New Brunswick P.O. Box 4400 28 Dineen Drive Fredericton NB E3B 5A3 Canada Charlottetown Research and Development Center Agriculture and Agri-Food Canada 440 University Avenue Charlottetown PE C1A 4N6 Canada;

    Charlottetown Research and Development Center Agriculture and Agri-Food Canada 440 University Avenue Charlottetown PE C1A 4N6 Canada;

    Earth System Science Interdisciplinary Center University of Maryland College Park 5825 University Research Ct College Park MD 20740 USA;

    Kentville Research and Development Center Agriculture and Agri-Food Canada 32 Main Road Kentville NS B4N 1J5 Canada;

    Charlottetown Research and Development Center Agriculture and Agri-Food Canada 440 University Avenue Charlottetown PE C1A 4N6 Canada;

    Faculty of Forestry and Environmental Management University of New Brunswick P.O. Box 4400 28 Dineen Drive Fredericton NB E3B 5A3 Canada;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Land use; Nitrate load; Water yield; SWAT; Random Forest;

    机译:土地使用;硝酸盐载荷;水产量;扑打;随机森林;

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